For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements of this entry.The University is dedicated to provide support to those with special requirements. Further details on the Disability support scheme can be found at the Disability Liaison Unit Website:http://www.services.unimelb.edu.au/disability

Coordinator

Dr Timothy Miller

Contact

Mathematical modelling is important for understanding many facets of digital complex systems. The aim of this subject is for students to understand the range and use of mathematical theories and notations in the analysis of discrete systems. Topics covered will be selected from: logic; probability and stochastic modeling; model-oriented methods for systems analysis; the use of automata, process algebra, and Petri nets in the analysis of concurrent systems; dynamical systems, networks and the analysis of complex systems.

Objectives:

On completion of this subject students should be able to:

To select from a range of techniques with which to model discrete systems

To select analysis techniques and perform analysis on discrete systems

Have the theoretical basis for understanding modern analytical techniques and the skill to solve problems using those techniques

Assessment:

Between 3 and 6 modelllng and analysis problems (the exact number is determined by the student) submitted during semester time (50%)